Literature DB >> 20860053

Improving the quality of industry and occupation data at a central cancer registry.

Karla R Armenti1, Maria O Celaya, Sai Cherala, Bruce Riddle, Pamela K Schumacher, Judy R Rees.   

Abstract

BACKGROUND: Central cancer registries are required to collect industry and occupation (I/O) information when available, but the data reported are often incomplete.
METHODS: We audited the completeness of I/O data in the New Hampshire State Cancer Registry (NHSCR) database for diagnosis year 2005, and reviewed medical records for a convenience sample of 474 of these cases. We compared I/O data quality before and after a statewide registrar training session on occupationally related cancers.
RESULTS: The original 2005 data contained both I/O data in 11.5% of cases, and lacked any I/O data in 74.5%. Corresponding figures for cases selected for audit were 15.2% and 77.2%, which improved to 54.2% and 11.8% after medical record review. After registrar training, 47% of reports contained both I/O data, and only 14.4% of cases lacked any I/O data.
CONCLUSIONS: Statewide training to highlight the importance of I/O data is an effective method to improve I/O data quality.
© 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20860053     DOI: 10.1002/ajim.20851

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  7 in total

1.  Developing a tool to assess the quality of socio-demographic data in community health centres.

Authors:  M Laberge; A Shachak
Journal:  Appl Clin Inform       Date:  2013-01-09       Impact factor: 2.342

2.  Capture and coding of industry and occupation measures: Findings from eight National Program of Cancer Registries states.

Authors:  MaryBeth B Freeman; Lori A Pollack; Judy R Rees; Christopher J Johnson; Randi K Rycroft; David L Rousseau; Mei-Chin Hsieh
Journal:  Am J Ind Med       Date:  2017-08       Impact factor: 2.214

3.  Factors associated with employment status before and during pregnancy: Implications for studies of pregnancy outcomes.

Authors:  Carissa M Rocheleau; Stephen J Bertke; Christina C Lawson; Paul A Romitti; Tania A Desrosiers; Aaron J Agopian; Erin Bell; Suzanne M Gilboa
Journal:  Am J Ind Med       Date:  2017-04       Impact factor: 2.214

4.  Assessing race and ethnicity data quality across cancer registries and EMRs in two hospitals.

Authors:  Simon J Craddock Lee; James E Grobe; Jasmin A Tiro
Journal:  J Am Med Inform Assoc       Date:  2015-12-11       Impact factor: 4.497

Review 5.  A Narrative Review of the Confluence of Breast Cancer and Low-wage Employment and Its Impact on Receipt of Guideline-recommended Treatment.

Authors:  Robin C Vanderpool; Jennifer E Swanberg; Mara D Chambers
Journal:  Glob Adv Health Med       Date:  2013-09

6.  A systematic review of reasons for and against asking patients about their socioeconomic contexts.

Authors:  Andrew Moscrop; Sue Ziebland; Nia Roberts; Andrew Papanikitas
Journal:  Int J Equity Health       Date:  2019-07-23

7.  The quality of social determinants data in the electronic health record: a systematic review.

Authors:  Lily A Cook; Jonathan Sachs; Nicole G Weiskopf
Journal:  J Am Med Inform Assoc       Date:  2021-12-28       Impact factor: 4.497

  7 in total

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